[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-gb\u002Fjobs-by-skill\u002Fpower-bi?page=3":3,"skill-page-filters-\u002Fde-gb\u002Fjobs-by-skill\u002Fpower-bi?page=3":107,"seo-content-skill-power-bi-gb":303,"featured-jobs-\u002Fde-gb\u002Fjobs-by-skill\u002Fpower-bi?page=3":332},{"total":4,"jobs":5},43,[6,56,85],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":43,"processed_job_expertise_skills_labels":44,"max_cpc":55,"actual_cpc":55},49201,"assistant-vice-president-data-virtualisation-lead-mufg-united-kingdom-btmu","Assistant Vice President, Data Virtualisation Lead",null,false,{"name":13,"slug":14,"logo_url":10},"MUFG - United Kingdom (BTMU)","mufg-united-kingdom-btmu",[16],"London",[18],"GB","onsite",100000,150000,"GBP","estimated",[25],"FULL_TIME","permanent",{"aws":28,"dbt":29,"gcp":29,"sql":28,"azure":29,"spark":29,"trino":28,"presto":29,"python":29,"power bi":29,"starburst":28,"kubernetes":28},4,3,[31,32,33,34,35,36,37,38,39,40,41,42],"Starburst","Trino","Presto","SQL","Kubernetes","AWS","Azure","GCP","Python","Spark","Power BI","dbt",{"agentic ai":29,"data lakes":28,"data security":28,"ai fundamentals":29,"data governance":28,"data engineering":28,"cloud engineering":28,"architecture design":28,"distributed systems":28,"large language models":29},[45,46,47,48,49,50,51,52,53,54],"Data Engineering","Distributed Systems","Data Lakes","Data Governance","Data Security","Cloud Engineering","Architecture Design","AI Fundamentals","Large Language Models","Agentic AI",1,{"id":57,"slug":58,"title":59,"raw_title":10,"is_featured":11,"company":60,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":63,"processed_country_iso_code_gmaps":64,"processed_home_office":65,"processed_salary_min":66,"processed_salary_max":67,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":68,"processed_employment_types":26,"processed_it_skills":69,"processed_it_skills_labels":71,"processed_job_expertise_skills":74,"processed_job_expertise_skills_labels":75,"max_cpc":55,"actual_cpc":55},68933,"senior-credit-executive-ifast-global-bank-ltd","Senior Credit Executive",{"name":61,"slug":62,"logo_url":10},"iFAST Global Bank Ltd","ifast-global-bank-ltd",[16],[18],"hybrid",45000,65000,[25],{"ai tools":70,"power bi":70,"ms office":29},2,[72,73,41],"MS Office","AI Tools",{"credit analysis":28,"risk assessment":28,"policy development":29,"product development":29,"credit risk management":28,"stakeholder management":29,"counterparty onboarding":29,"user acceptance testing":29,"consumer duty assessment":29},[76,77,78,79,80,81,82,83,84],"Credit Risk Management","Credit Analysis","Counterparty Onboarding","Product Development","Consumer Duty Assessment","Risk Assessment","Policy Development","User Acceptance Testing","Stakeholder Management",{"id":86,"slug":87,"title":88,"raw_title":10,"is_featured":11,"company":89,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":92,"processed_country_iso_code_gmaps":93,"processed_home_office":65,"processed_salary_min":66,"processed_salary_max":67,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":94,"processed_employment_types":26,"processed_it_skills":95,"processed_it_skills_labels":96,"processed_job_expertise_skills":100,"processed_job_expertise_skills_labels":101,"max_cpc":55,"actual_cpc":55},57818,"visualisation-engineer-2136gb00-howden-uk-brokers-limited","Visualisation Engineer",{"name":90,"slug":91,"logo_url":10},"Howden UK Brokers Limited","howden-uk-brokers-limited",[],[18],[25],{"dax":28,"sql":29,"azure":70,"power bi":28,"databricks":70,"data modelling":28},[41,97,98,34,37,99],"DAX","Data Modelling","Databricks",{"data analysis":28,"data governance":29,"stakeholder management":28,"data quality management":29,"insurance industry knowledge":29,"financial services experience":29,"business requirements analysis":28},[102,103,104,48,105,106,84],"Business Requirements Analysis","Data Analysis","Data Quality Management","Insurance Industry Knowledge","Financial Services Experience",{"industry":108,"employment_type":142,"expertise_skills":153,"it_skills":224,"salary_currency":294,"processed_working_hours":301},[109,113,117,121,124,127,130,133,136,139],{"key":110,"label":111,"count":112},"financial services","Financial Services",19,{"key":114,"label":115,"count":116},"insurance","Insurance",16,{"key":118,"label":119,"count":120},"banking","Banking",6,{"key":122,"label":123,"count":70},"alternative investments","Alternative Investments",{"key":125,"label":126,"count":70},"financial markets infrastructure","Financial Markets Infrastructure",{"key":128,"label":129,"count":70},"data","Data",{"key":131,"label":132,"count":70},"asset management","Asset Management",{"key":134,"label":135,"count":55},"financial technology","Financial Technology",{"key":137,"label":138,"count":55},"vehicle leasing","Vehicle Leasing",{"key":140,"label":141,"count":55},"fleet management","Fleet Management",[143,146,150],{"key":26,"label":144,"count":145},"PERMANENT",37,{"key":147,"label":148,"count":149},"temporary","TEMPORARY",5,{"key":151,"label":152,"count":55},"student","STUDENT",[154,157,161,164,167,170,173,176,179,182,185,187,190,193,196,198,201,204,207,210,212,215,218,221],{"key":155,"label":103,"slug":155,"count":156},"data-analysis",12,{"key":158,"label":159,"slug":158,"count":160},"process-improvement","Process Improvement",10,{"key":162,"label":48,"slug":162,"count":163},"data-governance",8,{"key":165,"label":84,"slug":165,"count":166},"stakeholder-management",7,{"key":168,"label":169,"slug":168,"count":166},"risk-management","Risk Management",{"key":171,"label":172,"slug":171,"count":120},"budgeting","Budgeting",{"key":174,"label":175,"slug":174,"count":120},"forecasting","Forecasting",{"key":177,"label":178,"slug":177,"count":149},"financial-reporting","Financial Reporting",{"key":180,"label":181,"slug":180,"count":149},"regulatory-compliance","Regulatory Compliance",{"key":183,"label":184,"slug":183,"count":28},"governance","Governance",{"key":186,"label":81,"slug":186,"count":28},"risk-assessment",{"key":188,"label":189,"slug":188,"count":28},"reporting","Reporting",{"key":191,"label":192,"slug":191,"count":28},"data-visualization","Data Visualization",{"key":194,"label":195,"slug":194,"count":28},"financial-analysis","Financial Analysis",{"key":197,"label":132,"slug":197,"count":29},"asset-management",{"key":199,"label":200,"slug":199,"count":29},"project-management","Project management",{"key":202,"label":203,"slug":202,"count":29},"data-quality","Data Quality",{"key":205,"label":206,"slug":205,"count":29},"information-security","Information Security",{"key":208,"label":209,"slug":208,"count":29},"data-modeling","Data Modeling",{"key":211,"label":45,"slug":211,"count":29},"data-engineering",{"key":213,"label":214,"slug":213,"count":29},"business-analysis","Business Analysis",{"key":216,"label":217,"slug":216,"count":29},"automation","Automation",{"key":219,"label":220,"slug":219,"count":29},"data-analytics","Data Analytics",{"key":222,"label":223,"slug":222,"count":29},"portfolio-management","Portfolio Management",[225,228,232,234,236,238,241,244,246,249,252,255,258,261,264,267,270,273,276,279,282,285,288,291],{"key":226,"label":227,"slug":226,"count":4},"ms-powerbi","MS PowerBI",{"key":229,"label":230,"slug":229,"count":231},"ms-excel","MS Excel",21,{"key":233,"label":34,"slug":233,"count":156},"sql",{"key":235,"label":39,"slug":235,"count":160},"python",{"key":237,"label":72,"slug":237,"count":166},"ms-office",{"key":239,"label":240,"slug":239,"count":120},"power-automate","Power Automate",{"key":242,"label":243,"slug":242,"count":149},"tableau","Tableau",{"key":245,"label":99,"slug":245,"count":149},"databricks",{"key":247,"label":248,"slug":247,"count":149},"ms-azure","MS Azure",{"key":250,"label":251,"slug":250,"count":28},"gcp","Gcp",{"key":253,"label":254,"slug":253,"count":28},"aws","Aws",{"key":256,"label":257,"slug":256,"count":28},"ms-365","MS 365",{"key":259,"label":260,"slug":259,"count":28},"ms-powerpoint","MS PowerPoint",{"key":262,"label":263,"slug":262,"count":29},"alteryx","Alteryx",{"key":265,"label":266,"slug":265,"count":29},"snowflake","Snowflake",{"key":268,"label":269,"slug":268,"count":29},"vba","Vba",{"key":271,"label":272,"slug":271,"count":29},"ai-tools","Ai Tools",{"key":274,"label":275,"slug":274,"count":29},"power-apps","Power Apps",{"key":277,"label":278,"slug":277,"count":29},"r","R",{"key":280,"label":281,"slug":280,"count":29},"anaplan","Anaplan",{"key":283,"label":284,"slug":283,"count":29},"oracle","Oracle",{"key":286,"label":287,"slug":286,"count":29},"power-query","Power Query",{"key":289,"label":290,"slug":289,"count":70},"data-connectivity","Data Connectivity",{"key":292,"label":293,"slug":292,"count":70},"cicd","Ci\u002FCd",[295,297,299],{"key":22,"label":22,"count":296},39,{"key":298,"label":298,"count":29},"EUR",{"key":300,"label":300,"count":55},"USD",[302],{"key":25,"label":25,"count":4},{"image_path":304,"content_de":305,"content_en":318,"composite_key":331,"last_updated":10},"\u002Fimages\u002Fskill\u002Fpower-bi.webp",{"tab1":306,"tab2":309,"tab3":312,"tab4":315},{"title":307,"content":308},"Bedeutung & Relevanz","Power BI ist ein entscheidendes Tool für Datenvisualisierung und Business Intelligence im [Vereinigtes Königreich](\u002Fsearch), insbesondere im Bereich [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fwealth-management). Es ermöglicht Finanzexperten, komplexe Daten in verständliche Berichte und Dashboards umzuwandeln, was fundierte Entscheidungen unterstützt. In [London](\u002Fjobs-in-london), dem Finanzzentrum des Landes, ist die Nachfrage nach Power BI-Kenntnissen hoch, da Unternehmen wie [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp) datengesteuerte Strategien priorisieren. Die Fähigkeit, Echtzeit-Insights zu liefern, verbessert die Kundenbetreuung und operative Effizienz, was Power BI zu einem unverzichtbaren Skill in der britischen Finanzbranche macht.",{"title":310,"content":311},"Top-Branchen & Standorte","In [Vereinigtes Königreich](\u002Fsearch) ist Power BI besonders in der [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fwealth-management) gefragt, wo es zur Analyse von Portfolios und Markttrends eingesetzt wird. [London](\u002Fjobs-in-london) ist der Hauptstandort für solche Rollen, dank seiner Konzentration an Finanzinstituten und Technologieunternehmen. Weitere relevante Branchen umfassen [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services), in denen Datenvisualisierung für Compliance und Risikomanagement essenziell ist. Die Nachfrage in [London](\u002Fjobs-in-london) wird durch die wachsende Bedeutung von Big Data und KI-gestützten Analysen weiter angeheizt, was Power BI zu einem Schlüsseltool für wettbewerbsfähige Unternehmen macht.",{"title":313,"content":314},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber wie [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp) in [Vereinigtes Königreich](\u002Fsearch) suchen nach Power BI-Experten mit Kenntnissen in [Data Warehouse Design](\u002Fjobs-by-expertise\u002Fdata-warehouse-design), [Data Modelling](\u002Fjobs-by-expertise\u002Fdata-modelling) und [ETL Best Practices](\u002Fjobs-by-expertise\u002Fetl-best-practices). Zusätzlich sind [Agile Methodology](\u002Fjobs-by-expertise\u002Fagile-methodology) und [Project Management](\u002Fjobs-by-expertise\u002Fproject-management) wichtige verwandte Expertisen, um iterative Entwicklungsprozesse zu managen. Diese Skills ermöglichen die Erstellung skalierbarer Datenlösungen, die in der dynamischen Umgebung von [London](\u002Fjobs-in-london) hoch geschätzt werden. Unternehmen integrieren Power BI oft mit Tools wie Snowflake und Python, um umfassende Analytics-Plattformen aufzubauen.",{"title":316,"content":317},"Karriere & Entwicklung","Eine Karriere mit Power BI in [Vereinigtes Königreich](\u002Fsearch) beginnt oft mit Rollen wie Data Analyst oder BI Developer, mit Aufstiegsmöglichkeiten zu Senior-Positionen in [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fwealth-management). Um sich weiterzuentwickeln, sollten Lernende [Data Modelling](\u002Fjobs-by-expertise\u002Fdata-modelling) und [Agile Methodology](\u002Fjobs-by-expertise\u002Fagile-methodology) vertiefen sowie verwandte IT-Skills wie [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake), [Python](\u002Fjobs-by-skill\u002Fpython) und [Apache Airflow](\u002Fjobs-by-skill\u002Fapache-airflow) erlernen. Zertifizierungen wie Microsoft Power BI Certification und praktische Erfahrung mit Tools wie dbt und GitLab sind empfehlenswert. In [London](\u002Fjobs-in-london) bieten viele Arbeitgeber interne Schulungen, um mit den neuesten Trends in Datenvisualisierung und [Project Management](\u002Fjobs-by-expertise\u002Fproject-management) Schritt zu halten.",{"tab1":319,"tab2":322,"tab3":325,"tab4":328},{"title":320,"content":321},"Strategic Importance","Power BI holds significant strategic importance in the [Vereinigtes Königreich](\u002Fsearch) financial sector, particularly within [Wealth Management](\u002Fjobs-by-industry\u002Fwealth-management). As firms like [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp) leverage data-driven insights to enhance client services and operational efficiency, Power BI enables comprehensive visualization and analysis of complex financial data. Its integration capabilities with tools such as [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake) and [Python](\u002Fjobs-by-skill\u002Fpython) support robust reporting and decision-making processes. In a competitive market like [London](\u002Fjobs-in-london), mastering Power BI is crucial for professionals aiming to drive innovation and maintain a competitive edge in data-centric roles.",{"title":323,"content":324},"Top Industries & Locations","In the [Vereinigtes Königreich](\u002Fsearch), Power BI is highly sought after in the [Wealth Management](\u002Fjobs-by-industry\u002Fwealth-management) industry, with [London](\u002Fjobs-in-london) being the primary hub for demand. This skill is essential for roles involving data analysis and reporting, supporting firms in optimizing investment strategies and client portfolio management. Additionally, industries like [Banking](\u002Fjobs-by-industry\u002Fbanking) and [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) in key locations such as [London](\u002Fjobs-in-london) rely on Power BI for real-time analytics and regulatory compliance, making it a cornerstone of modern financial operations across the region.",{"title":326,"content":327},"In-Demand Skills & Employers","Top employers like [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp) in the [Vereinigtes Königreich](\u002Fsearch) seek professionals with Power BI expertise, often requiring complementary skills in [Data Warehouse Design](\u002Fjobs-by-expertise\u002Fdata-warehouse-design), [Data Modelling](\u002Fjobs-by-expertise\u002Fdata-modelling), and [ETL Best Practices](\u002Fjobs-by-expertise\u002Fetl-best-practices). Knowledge of [Agile Methodology](\u002Fjobs-by-expertise\u002Fagile-methodology) and [Project Management](\u002Fjobs-by-expertise\u002Fproject-management) is also valued, as these enhance the implementation of data solutions. Firms prioritize candidates who can integrate Power BI with tools like [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake) and [Apache Airflow](\u002Fjobs-by-skill\u002Fapache-airflow) to streamline data workflows and improve analytical outcomes.",{"title":329,"content":330},"Career & Development","Career paths for Power BI professionals in the [Vereinigtes Königreich](\u002Fsearch) often start with roles in data analysis or business intelligence, progressing to senior positions such as Data Architect or BI Manager. To develop this skill, focus on learning related expertise like [Data Modelling](\u002Fjobs-by-expertise\u002Fdata-modelling) and [ETL Best Practices](\u002Fjobs-by-expertise\u002Fetl-best-practices), and master IT skills including [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake), [dbt](\u002Fjobs-by-skill\u002Fdbt), [GitLab](\u002Fjobs-by-skill\u002Fgitlab), [Python](\u002Fjobs-by-skill\u002Fpython), and [Apache Airflow](\u002Fjobs-by-skill\u002Fapache-airflow). Online courses, certifications, and hands-on projects are effective ways to build proficiency, enabling advancement in dynamic industries like [Wealth Management](\u002Fjobs-by-industry\u002Fwealth-management) and beyond.","skill:power-bi:gb",{"total":333,"jobs":334},0,[]]